A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets.
Amir AhmadShehroz S. KhanPublished in: CoRR (2019)
Keyphrases
- clustering algorithm
- generation method
- k means
- clustering approaches
- data clustering
- cluster analysis
- unsupervised clustering
- hierarchical clustering
- cluster centroids
- fuzzy c means
- clustering quality
- cluster centers
- subspace clustering
- clustering method
- constrained clustering
- clustering solutions
- document clustering
- spectral clustering
- self organizing maps
- fuzzy clustering algorithm
- density based clustering
- clustering framework
- fuzzy k means
- agglomerative hierarchical clustering
- hierarchical agglomerative clustering
- clustering result
- hierarchical clustering algorithm
- overlapping clusters
- fuzzy clustering
- data sets
- hierarchical clustering algorithms
- graph clustering
- initial cluster centers
- expectation maximization
- cluster structure
- model based clustering
- clustering scheme
- text clustering
- arbitrary shape
- synthetic datasets
- hierarchical clustering methods
- center based clustering
- subspace clusters
- cluster ensemble
- semi supervised